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Artificial Neural Networks and Machine Learning – ICANN 2014

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Cover of 'Artificial Neural Networks and Machine Learning – ICANN 2014'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Dynamic Cortex Memory: Enhancing Recurrent Neural Networks for Gradient-Based Sequence Learning
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    Chapter 2 Learning and Recognition of Multiple Fluctuating Temporal Patterns Using S-CTRNN
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    Chapter 3 Regularized Recurrent Neural Networks for Data Efficient Dual-Task Learning
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    Chapter 4 On-line Training of ESN and IP Tuning Effect
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    Chapter 5 An Incremental Approach to Language Acquisition: Thematic Role Assignment with Echo State Networks
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    Chapter 6 Memory Capacity of Input-Driven Echo State Networks at the Edge of Chaos
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    Chapter 7 Adaptive Critical Reservoirs with Power Law Forgetting of Unexpected Input Sequences
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    Chapter 8 Interactive Evolving Recurrent Neural Networks Are Super-Turing Universal
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    Chapter 9 Attractor Metadynamics in Adapting Neural Networks
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    Chapter 10 Basic Feature Quantities of Digital Spike Maps
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    Chapter 11 Discriminative Fast Soft Competitive Learning
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    Chapter 12 Human Action Recognition with Hierarchical Growing Neural Gas Learning
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    Chapter 13 Real-Time Anomaly Detection with a Growing Neural Gas
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    Chapter 14 Classification with Reject Option Using the Self-Organizing Map
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    Chapter 15 A Non-parametric Maximum Entropy Clustering
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    Chapter 16 Instance Selection Using Two Phase Collaborative Neighbor Representation
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    Chapter 17 Global Metric Learning by Gradient Descent
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    Chapter 18 Leaving Local Optima in Unsupervised Kernel Regression
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    Chapter 19 An Algorithm for Directed Graph Estimation
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    Chapter 20 Merging Strategy for Local Model Networks Based on the Lolimot Algorithm
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    Chapter 21 Factor Graph Inference Engine on the SpiNNaker Neural Computing System
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    Chapter 22 High-Dimensional Binary Pattern Classification by Scalar Neural Network Tree
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    Chapter 23 Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions
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    Chapter 24 sNN-LDS: Spatio-temporal Non-negative Sparse Coding for Human Action Recognition
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    Chapter 25 Interactive Language Understanding with Multiple Timescale Recurrent Neural Networks
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    Chapter 26 A Neural Dynamic Architecture Resolves Phrases about Spatial Relations in Visual Scenes
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    Chapter 27 Chinese Image Character Recognition Using DNN and Machine Simulated Training Samples
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    Chapter 28 Polyphonic Music Generation by Modeling Temporal Dependencies Using a RNN-DBN
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    Chapter 29 On Improving the Classification Capability of Reservoir Computing for Arabic Speech Recognition
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    Chapter 30 Neural Network Based Data Fusion for Hand Pose Recognition with Multiple ToF Sensors
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    Chapter 31 Sparse Single-Hidden Layer Feedforward Network for Mapping Natural Language Questions to SQL Queries
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    Chapter 32 Towards Context-Dependence Eye Movements Prediction in Smart Meeting Rooms
  34. Altmetric Badge
    Chapter 33 Variational EM Learning of DSBNs with Conditional Deep Boltzmann Machines
  35. Altmetric Badge
    Chapter 34 Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference
  36. Altmetric Badge
    Chapter 35 From Maxout to Channel-Out: Encoding Information on Sparse Pathways
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    Chapter 36 Minimizing Computation in Convolutional Neural Networks
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    Chapter 37 One-Shot Learning with Feedback for Multi-layered Convolutional Network
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    Chapter 38 Row-Action Projections for Nonnegative Matrix Factorization
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    Chapter 39 Structure Perturbation Optimization for Hopfield-Type Neural Networks
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    Chapter 40 Complex-Valued Multilayer Perceptron Search Utilizing Singular Regions of Complex-Valued Parameter Space
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    Chapter 41 Mix-Matrix Transformation Method for Max-Сut Problem
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    Chapter 42 Complexity of Shallow Networks Representing Functions with Large Variations
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    Chapter 43 Visualizing Hierarchical Representation in a Multilayered Restricted RBF Network
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    Chapter 44 Contingent Features for Reinforcement Learning
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    Chapter 45 A Non-stationary Infinite Partially-Observable Markov Decision Process
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    Chapter 46 Tool-Body Assimilation Model Based on Body Babbling and a Neuro-Dynamical System for Motion Generation
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    Chapter 47 A Gaussian Process Reinforcement Learning Algorithm with Adaptability and Minimal Tuning Requirements
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    Chapter 48 Sensorimotor Control Learning Using a New Adaptive Spiking Neuro-Fuzzy Machine, Spike-IDS and STDP
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    Chapter 49 Model-Based Identification of EEG Markers for Learning Opportunities in an Associative Learning Task with Delayed Feedback
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    Chapter 50 Structured Prediction for Object Detection in Deep Neural Networks
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    Chapter 51 A Multichannel Convolutional Neural Network for Hand Posture Recognition
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    Chapter 52 A Two-Stage Classifier Architecture for Detecting Objects under Real-World Occlusion Patterns
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    Chapter 53 Towards Sparsity and Selectivity: Bayesian Learning of Restricted Boltzmann Machine for Early Visual Features
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    Chapter 54 Online Learning of Invariant Object Recognition in a Hierarchical Neural Network
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    Chapter 55 Incorporating Scale Invariance into the Cellular Associative Neural Network
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    Chapter 56 Shape from Shading by Model Inclusive Learning with Simultaneously Estimating Reflection Parameters
  58. Altmetric Badge
    Chapter 57 Instance-Based Object Recognition with Simultaneous Pose Estimation Using Keypoint Maps and Neural Dynamics
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    Chapter 58 How Visual Attention and Suppression Facilitate Object Recognition?
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    Chapter 59 Analysis of Neural Circuit for Visual Attention Using Lognormally Distributed Input
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    Chapter 60 Dynamic Ensemble Selection and Instantaneous Pruning for Regression Used in Signal Calibration
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    Chapter 61 Global and Local Rejection Option in Multi–classification Task
  63. Altmetric Badge
    Chapter 62 Comparative Study of Accuracies on the Family of the Recursive-Rule Extraction Algorithm
  64. Altmetric Badge
    Chapter 63 Improving the Convergence Property of Soft Committee Machines by Replacing Derivative with Truncated Gaussian Function
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    Chapter 64 Fast Sensitivity-Based Training of BP-Networks
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    Chapter 65 Learning Anisotropic RBF Kernels
  67. Altmetric Badge
    Chapter 66 Empowering Imbalanced Data in Supervised Learning: A Semi-supervised Learning Approach
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    Chapter 67 A Geometrical Approach for Parameter Selection of Radial Basis Functions Networks
  69. Altmetric Badge
    Chapter 68 Sampling Hidden Parameters from Oracle Distribution
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    Chapter 69 Incremental Input Variable Selection by Block Addition and Block Deletion
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    Chapter 70 A CFS-Based Feature Weighting Approach to Naive Bayes Text Classifiers
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    Chapter 71 Local Rejection Strategies for Learning Vector Quantization
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    Chapter 72 Efficient Adaptation of Structure Metrics in Prototype-Based Classification
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    Chapter 73 Improved Adaline Networks for Robust Pattern Classification
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    Chapter 74 Learning under Concept Drift with Support Vector Machines
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    Chapter 75 Two Subspace-Based Kernel Local Discriminant Embedding
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    Chapter 76 Coupling Gaussian Process Dynamical Models with Product-of-Experts Kernels
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    Chapter 77 A Deep Dynamic Binary Neural Network and Its Application to Matrix Converters
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    Chapter 78 Improving Humanoid Robot Speech Recognition with Sound Source Localisation
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    Chapter 79 Control of UPOs of Unknown Chaotic Systems via ANN
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    Chapter 80 Event-Based Visual Data Sets for Prediction Tasks in Spiking Neural Networks
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    Chapter 81 Modeling of Chaotic Time Series by Interval Type-2 NEO-Fuzzy Neural Network
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    Chapter 82 Excitation/Inhibition Patterns in a System of Coupled Cortical Columns
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    Chapter 83 Self-generated Off-line Memory Reprocessing Strongly Improves Generalization in a Hierarchical Recurrent Neural Network
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    Chapter 84 Lateral Inhibition Pyramidal Neural Networks Designed by Particle Swarm Optimization
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    Chapter 85 Bio-mimetic Path Integration Using a Self Organizing Population of Grid Cells
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    Chapter 86 Learning Spatial Transformations Using Structured Gain-Field Networks
  88. Altmetric Badge
    Chapter 87 Flexible Cue Integration by Line Attraction Dynamics and Divisive Normalization
  89. Altmetric Badge
    Chapter 88 Learning to Look: A Dynamic Neural Fields Architecture for Gaze Shift Generation
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    Chapter 89 Skeleton Model for the Neurodynamics of Visual Action Representations
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    Chapter 90 Latency-Based Probabilistic Information Processing in Recurrent Neural Hierarchies
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    Chapter 91 Factors Influencing Polychronous Group Sustainability as a Model of Working Memory
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    Chapter 92 Pre- and Postsynaptic Properties Regulate Synaptic Competition through Spike-Timing-Dependent Plasticity
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    Chapter 93 Location-Dependent Dendritic Computation in a Modeled Striatal Projection Neuron
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    Chapter 94 Classifying Spike Patterns by Reward-Modulated STDP
  96. Altmetric Badge
    Chapter 95 Quantifying the Effect of Meaning Variation in Survey Analysis
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    Chapter 96 Discovery of Spatio-Temporal Patterns from Foursquare by Diffusion-type Estimation and ICA
  98. Altmetric Badge
    Chapter 97 Content-Boosted Restricted Boltzmann Machine for Recommendation
  99. Altmetric Badge
    Chapter 98 Financial Self-Organizing Maps
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    Chapter 99 RatSLAM on Humanoids - A Bio-Inspired SLAM Model Adapted to a Humanoid Robot
  101. Altmetric Badge
    Chapter 100 Precise Wind Power Prediction with SVM Ensemble Regression
  102. Altmetric Badge
    Chapter 101 Neural Network Approaches to Solution of the Inverse Problem of Identification and Determination of Partial Concentrations of Salts in Multi-сomponent Water Solutions
  103. Altmetric Badge
    Chapter 102 Lateral Inhibition Pyramidal Neural Network for Detection of Optical Defocus (Zernike Z5)
  104. Altmetric Badge
    Chapter 103 Development of a Dynamically Extendable SpiNNaker Chip Computing Module
  105. Altmetric Badge
    Chapter 104 The Importance of Physiological Noise Regression in High Temporal Resolution fMRI
  106. Altmetric Badge
    Chapter 105 Development of Automated Diagnostic System for Skin Cancer: Performance Analysis of Neural Network Learning Algorithms for Classification
Attention for Chapter 78: Improving Humanoid Robot Speech Recognition with Sound Source Localisation
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
16 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
11 Mendeley
Summary X Dimensions citations
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Chapter title
Improving Humanoid Robot Speech Recognition with Sound Source Localisation
Chapter number 78
Book title
Artificial Neural Networks and Machine Learning – ICANN 2014
Published in
Lecture notes in computer science, September 2014
DOI 10.1007/978-3-319-11179-7_78
Book ISBNs
978-3-31-911178-0, 978-3-31-911179-7
Authors

Jorge Dávila-Chacón, Johannes Twiefel, Jindong Liu, Stefan Wermter

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Student > Master 3 27%
Professor 1 9%
Student > Bachelor 1 9%
Researcher 1 9%
Other 0 0%
Unknown 2 18%
Readers by discipline Count As %
Computer Science 6 55%
Engineering 3 27%
Unknown 2 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 January 2019.
All research outputs
#4,579,771
of 24,990,015 outputs
Outputs from Lecture notes in computer science
#993
of 8,153 outputs
Outputs of similar age
#45,687
of 252,655 outputs
Outputs of similar age from Lecture notes in computer science
#19
of 232 outputs
Altmetric has tracked 24,990,015 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 252,655 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 232 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.

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